Zhang, C., Ma, T., Ma, D. (2023). Status of the snow leopard Panthera uncia in the Qilian Mountains, Gansu Province, China. Oryx, , 1–6.
Abstract: Population density estimation is integral to the effective conservation and management of wildlife. The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List, and reliable information on its density is a prerequisite for its conservation and management. Little is known about the status of the snow leopard in the central and eastern Qilian Mountains, China. To address this, we estimated the population density of the snow leopard using a spatially explicit capture–recapture model based on camera trapping in Machang in the central and eastern Qilian Mountains during January–March 2019. We set up
40 camera traps and recorded 84 separate snow leopard captures over 3,024 trap-days. We identified 18 individual snow leopards and estimated their density to be 2.26/100 km. Our study provides baseline information on the snow leopard and the first population estimate for the species in the central and eastern Qilian Mountains.
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Alexander, J. S., Johansson, O., Xiao, L., Chetri, M., Lkhagvajav, P., Karumbaya, R., Wright, B., Modaqiq, W., Lovari, S. (2023). Snow Leopard Network: 20 years of collaboration among practitioners. Oryx, 57(5), 559–560.
Abstract: The Snow Leopard Network (snowleopardnetwork.org), a global group dedicated to snow leopard Panthera uncia conservation, is commemorating 2 decades of accomplishments since its inception in 2002. Initiated at the Snow Leopard Survival Summit in Seattle, USA, with 58 experts from 17 countries, the Network continues to grow and to play a pivotal role in safeguarding the snow leopard in High Asia. Current membership stands at 621 individuals and 31 organizations. As new challenges and opportunities arise, collaborative and innovative solutions are more crucial than ever.
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Sanyal, O., Bashir, T., Rana, M., Chandan, P. (2023). First photographic record of the snow leopard Panthera uncia in Kishtwar High Altitude National Park, Jammu and Kashmir, India. Oryx, , 1–5.
Abstract: The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region.
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Sharkey, W., Milner-Gulland, E. J., Sinovas, P., Keane, A. (2024). A framework for understanding the contributions of local residents to protected area law enforcement. Oryx, , 1–13.
Abstract: Terrestrial and marine protected areas have long been championed as an approach to biodiversity conservation. For protected areas to be effective, equitable and inclusive, the involvement of local residents in their management and governance is considered important. Globally, there are many approaches to involving local residents in protected area law enforcement. However, opportunities for comparing different approaches have been limited by the lack of a clear common framework for analysis. To support a more holistic understanding, we present a framework for analysing the contributions of local residents to protected area law enforcement. Informed by a review of the literature and discussions with conservation practitioners, the framework comprises five key dimensions: (1) the different points in the enforcement system at which local residents are involved, (2) the nature of local participation in decision-making, (3) the type of external support provided to local residents, (4) the different motivating forces for participation, and (5) the extent to which local participation is formalized. We apply the framework to three real-world case studies to demonstrate its use in analysing and comparing the characteristics of different approaches. We suggest this framework could be used to examine variation in local participation within the enforcement system, inform evaluation and frame constructive discussions between relevant stakeholders. With the global coverage of protected areas likely to increase, the framework provides a foundation for better understanding the contributions of local residents to protected area law enforcement.
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